Energy-efficient subcarrier-bit-power allocation based on genetic algorithm

Energy-efficient transmission is an important issue for wireless communication systems, due to the increased energy consumption and limited battery capacity. In this paper, we study the energy-efficient transmission in a single cellular downlink multi-user Orthogonal Frequency Division Multiple Acce...

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Bibliographic Details
Published in9th International Conference on Communications and Networking in China pp. 583 - 588
Main Authors Congcong Li, Guixia Kang, Ningbo Zhang, Dongyan Huang, Xiaoshuang Liu, Bingning Zhu, Hao Wu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2014
Subjects
Energy efficiency
Genetic Algorithm
Genetic algorithms
OFDM
OFDMA
Optimization
Power demand
Resource management
Wireless communication
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Summary:Energy-efficient transmission is an important issue for wireless communication systems, due to the increased energy consumption and limited battery capacity. In this paper, we study the energy-efficient transmission in a single cellular downlink multi-user Orthogonal Frequency Division Multiple Access (OFDMA) system. The transmit power consumption and the circuit power consumption are both taken into consideration, when optimizing the total bits transmitted per Joule of energy. This optimization problem has nonlinear constraints, which are commonly solved by Lagrange-based algorithm. However, these methods are time-consuming and are not optimal. To address this issue, we propose an adaptive subcarrier, bit, and power allocation scheme to optimize energy-efficient transmissions based on genetic algorithms. Moreover, we improve the genetic algorithm with a new elitist method and a penalty handling method that are specific to our optimization problem. The simulation results show that the proposed scheme can obtain more satisfied solutions in a shorter time, compared to the traditional methods.
DOI:10.1109/CHINACOM.2014.7054363